Replicate MCP.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Topics declared
- ✓Documented (README)
claude mcp add mcp-replicate -- npx -y @pipeworx/mcp-replicate{
"mcpServers": {
"mcp-replicate": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-replicate"]
}
}
}Resumen de MCP Servers
# @pipeworx/replicate
[Replicate](https://replicate.com/docs/reference/http) MCP — run open models (Flux, Llama, Whisper, etc.) and manage predictions. Free trial credits on signup.
Part of [Pipeworx](https://pipeworx.io) — an MCP gateway connecting AI agents to 1558+ live data sources.
## Auth
- Platform: `PLATFORM_REPLICATE_KEY`. BYO: `?_apiKey=…`.
## Tools (models)
- `list_models(cursor?)` — list public models
- `model(owner, name)` — model detail
- `model_versions(owner, name)` — list versions
- `model_version(owner, name, version_id)` — version detail
- `search_models(query)` — model search
- `collections()` — model collections
- `collection(slug)` — collection detail
## Tools (predictions)
- `create_prediction(version, input, webhook?, webhook_events_filter?, stream?)` — kick off a model run
- `prediction(id)` — single prediction (poll for completion)
- `list_predictions(cursor?)` — recent predictions
- `cancel_prediction(id)` — cancel a running prediction
## Tools (deployments)
- `list_deployments(cursor?)` — your deployments
- `deployment(owner, name)` — deployment detail
- `create_deployment_prediction(owner, name, input, webhook?, webhook_events_filter?, stream?)` — run via a deployment (faster cold starts)
## Tools (account)
- `account()` — your account
- `hardware()` — available hardware types
## Notes
- `create_prediction` returns immediately with the prediction in `starting` or `processing` state. Poll `prediction(id)` until `status` is `succeeded` or `failed`, OR pass a `webhook` URL to be notified.
- For LLM-style streaming, pass `stream=true` and use the returned `urls.stream` SSE endpoint.
## Data source
`https://api.replicate.com/v1`
## Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
```json
{
"mcpServers": {
"replicate": {
"url": "https://gateway.pipeworx.io/replicate/mcp"
}
}
}
```
### What this endpoint actually serves
`tools/list` at `https://gateway.pipeworx.io/replicate/mcp` returns the tools in the table
above **plus the shared Pipeworx meta-tools** — `ask_pipeworx`,
`discover_tools`, `search_within`, `remember`/`recall` and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's `initialize` response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
`ask_pipeworx`, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed
directly, instead of just this one's:
```json
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
```
Both URLs reach the same gateway and the same 1558+ data sources. The
only difference is which pack's tools are listed **directly**; `ask_pipeworx`
reaches all of them from either one.
## Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no
gateway round-trip:
```json
{
"mcpServers": {
"replicate": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-replicate"]
}
}
}
```
Or run it directly to confirm it starts:
```bash
npx -y @pipeworx/mcp-replicate
```
It speaks MCP over stdin/stdout and answers `initialize`/`tools/list`/`tools/call`
for **only** this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
## Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English —
this works on the pack endpoint above as well as on the full gateway:
```
ask_pipeworx({ question: "your question about Replicate data" })
```
The gateway picks the right tool and fills the arguments automatically.
## More
- [Docs and guides](https://pipeworx.io/docs)
- [pipeworx.io](https://pipeworx.io)
## License
MIT
Lo que la gente pregunta sobre mcp-replicate
¿Qué es pipeworx-io/mcp-replicate?
+
pipeworx-io/mcp-replicate es mcp servers para el ecosistema de Claude AI. Replicate MCP. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-09-11.
¿Cómo se instala mcp-replicate?
+
Puedes instalar mcp-replicate clonando el repositorio (https://github.com/pipeworx-io/mcp-replicate) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar pipeworx-io/mcp-replicate?
+
Nuestro agente de seguridad ha analizado pipeworx-io/mcp-replicate y le ha asignado un Trust Score de 90/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene pipeworx-io/mcp-replicate?
+
pipeworx-io/mcp-replicate es mantenido por pipeworx-io. La última actividad registrada en GitHub es del 2026-09-11, con 0 issues abiertos.
¿Hay alternativas a mcp-replicate?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega mcp-replicate en tu cloud
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